| Time: | December 5, 2023, 5:30 p.m. (CET) |
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| The talk will take place online on WebEx (link below). | |
| Download as iCal: |
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The Stuttgart ELLIS Unit is pleased to announce the upcoming ELLIS Distinguished Lecture Series talk by Andreas Holzinger (University of Natural Resources and Life Sciences, Vienna).
Title: On Robustness and Explainability to reach Trustworthy AI
Abstract:
Thanks to advances in statistical machine learning, AI is enjoying
renewed popularity today. However, two properties are still in great
need of improvement: a) robustness and b) explainability. In many
application domains, the question of why a particular result was
obtained is often more important than the result itself. This is
directly related to robustness, because disturbances in the input data
can have dramatic effects on the output and lead to completely different
results. This is relevant in all critical areas where we work with real
data from our environment, i.e. where we do not have i.i.d. laboratory
data. Therefore, the use of AI in real-world domains that impact human
life (agriculture, climate, forestry, health, etc.) has led to an
increased demand for trustworthy AI. In sensitive areas where
traceability, transparency and interpretability are required,
explainable AI (XAI) is now even essential due to regulatory
requirements. One approach to making AI more robust is to combine
statistical learning with knowledge representations. For certain tasks,
it can be beneficial to include a human in the loop. A human expert can
sometimes - not always, of course - bring experience and conceptual
understanding to the AI pipeline.
Bio:
Andreas Holzinger pioneered in interactive machine learning with the
human-in-the-loop promoting robustness and explainability to foster
trustworthy AI. He advocates a synergistic approach of Human-Centered AI
(HCAI) to put the human in-control of AI, aligning artificial
intelligence with human intelligence, human values, ethical principles,
and legal requirements to ensure secure and safe human-machine
interaction. For his achievements he was elected a member of Academia
Europaea in 2019, the European Academy of Science, of the European
Laboratory for Learning and Intelligent Systems (ELLIS) in 2020, and
Fellow of the international federation of information processing (ifip)
in 2021. Andreas Holzinger serves as consultant for the Canadian, US,
UK, Swiss, French, Italian and Dutch governments, for the German
Excellence Initiative, and as national expert in the European Commission
(EC). Andreas is in the advisory board of the Artificial Intelligence
Strategy AI made in Germany 2030 of the German Federal Government. He
obtained his Ph.D. with a topic in Cognitive Science from Graz
University in 1998, and his Habilitation (UOG 93, venia docendi) in
Computer Science from Graz University of Technology in 2003. Andreas was
Visiting Professor for Machine Learning & Knowledge Extraction in Verona
(Italy), RWTH Aachen (Germany), and the University College London (UK).
From July 2019 until February 2022 Andreas was a Visiting Professor for
explainable AI at the University of Alberta (Canada). Andreas Holzinger
has been appointed full professor for digital transformation in smart
farm and forest operations at the University of Natural Resources and
Life Sciences Vienna and had his inaugural lecture on November 7, 2022 –
see: https://human-centered.ai/antrittsvorlesung-andreas-holzinger/